Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0909	2	2.7746	-0.0967	2.7746	1.6657
No log	0.1818	4	0.7982	0.0253	0.7982	0.8934
No log	0.2727	6	0.6035	0.5133	0.6035	0.7768
No log	0.3636	8	0.7653	0.1646	0.7653	0.8748
No log	0.4545	10	0.5867	0.5133	0.5867	0.7660
No log	0.5455	12	0.9332	0.0	0.9332	0.9660
No log	0.6364	14	1.0893	0.0	1.0893	1.0437
No log	0.7273	16	0.9068	0.0	0.9068	0.9523
No log	0.8182	18	0.6506	0.0	0.6506	0.8066
No log	0.9091	20	0.6009	0.0	0.6009	0.7752
No log	1.0	22	0.6390	0.0	0.6390	0.7993
No log	1.0909	24	0.7618	0.4590	0.7618	0.8728
No log	1.1818	26	1.0228	0.0120	1.0228	1.0113
No log	1.2727	28	1.4145	0.0	1.4145	1.1893
No log	1.3636	30	1.3304	0.0	1.3304	1.1534
No log	1.4545	32	1.1250	0.0	1.1250	1.0606
No log	1.5455	34	0.8344	0.0120	0.8344	0.9135
No log	1.6364	36	0.7551	-0.0233	0.7551	0.8690
No log	1.7273	38	0.7205	0.0	0.7205	0.8488
No log	1.8182	40	0.7395	0.1895	0.7395	0.8599
No log	1.9091	42	0.6847	0.0	0.6847	0.8275
No log	2.0	44	0.6655	0.0	0.6655	0.8158
No log	2.0909	46	0.6609	0.0	0.6609	0.8130
No log	2.1818	48	0.6520	0.0	0.6520	0.8075
No log	2.2727	50	0.6709	0.0	0.6709	0.8191
No log	2.3636	52	0.6988	0.0	0.6988	0.8359
No log	2.4545	54	0.7509	-0.0820	0.7509	0.8666
No log	2.5455	56	0.9028	0.0253	0.9028	0.9502
No log	2.6364	58	0.9198	0.0253	0.9198	0.9591
No log	2.7273	60	0.7119	0.4590	0.7119	0.8438
No log	2.8182	62	0.6226	0.2326	0.6226	0.7891
No log	2.9091	64	0.6756	0.0	0.6756	0.8220
No log	3.0	66	0.7574	0.0	0.7574	0.8703
No log	3.0909	68	0.7486	0.0	0.7486	0.8652
No log	3.1818	70	0.6728	0.0	0.6728	0.8203
No log	3.2727	72	0.6779	-0.0233	0.6779	0.8234
No log	3.3636	74	0.8532	0.0120	0.8532	0.9237
No log	3.4545	76	0.8648	0.0120	0.8648	0.9299
No log	3.5455	78	0.7396	0.4590	0.7396	0.8600
No log	3.6364	80	0.6593	0.0	0.6593	0.8119
No log	3.7273	82	0.6233	0.0	0.6233	0.7895
No log	3.8182	84	0.6041	0.0	0.6041	0.7772
No log	3.9091	86	0.5883	0.0	0.5883	0.7670
No log	4.0	88	0.5998	0.0	0.5998	0.7745
No log	4.0909	90	0.6192	0.1538	0.6192	0.7869
No log	4.1818	92	0.5804	0.0	0.5804	0.7618
No log	4.2727	94	0.5972	0.0	0.5972	0.7728
No log	4.3636	96	0.5962	0.0	0.5962	0.7722
No log	4.4545	98	0.5868	0.0	0.5868	0.7661
No log	4.5455	100	0.5925	0.0	0.5925	0.7697
No log	4.6364	102	0.6713	0.0	0.6713	0.8193
No log	4.7273	104	0.6873	0.0	0.6873	0.8290
No log	4.8182	106	0.6145	0.0	0.6145	0.7839
No log	4.9091	108	0.5989	0.0	0.5989	0.7739
No log	5.0	110	0.5652	0.0	0.5652	0.7518
No log	5.0909	112	0.5589	0.0	0.5589	0.7476
No log	5.1818	114	0.5711	0.0222	0.5711	0.7557
No log	5.2727	116	0.6417	0.0388	0.6417	0.8011
No log	5.3636	118	0.6237	0.0388	0.6237	0.7897
No log	5.4545	120	0.5460	0.0222	0.5460	0.7389
No log	5.5455	122	0.5082	0.0222	0.5082	0.7129
No log	5.6364	124	0.5157	0.0222	0.5157	0.7181
No log	5.7273	126	0.5273	0.0222	0.5273	0.7261
No log	5.8182	128	0.5445	0.0222	0.5445	0.7379
No log	5.9091	130	0.5888	0.0222	0.5888	0.7674
No log	6.0	132	0.6969	0.0388	0.6969	0.8348
No log	6.0909	134	0.6819	0.0388	0.6819	0.8258
No log	6.1818	136	0.6401	0.0388	0.6401	0.8001
No log	6.2727	138	0.6440	0.0388	0.6440	0.8025
No log	6.3636	140	0.7105	0.0388	0.7105	0.8429
No log	6.4545	142	0.6782	0.0388	0.6782	0.8235
No log	6.5455	144	0.5883	0.0222	0.5883	0.7670
No log	6.6364	146	0.5671	0.1852	0.5671	0.7531
No log	6.7273	148	0.5586	0.1852	0.5586	0.7474
No log	6.8182	150	0.5659	0.0388	0.5659	0.7523
No log	6.9091	152	0.6687	0.0388	0.6687	0.8178
No log	7.0	154	0.7091	0.0517	0.7091	0.8421
No log	7.0909	156	0.6371	0.0388	0.6371	0.7982
No log	7.1818	158	0.5310	0.2143	0.5310	0.7287
No log	7.2727	160	0.5386	0.5133	0.5386	0.7339
No log	7.3636	162	0.5852	0.4590	0.5852	0.7650
No log	7.4545	164	0.5667	0.5133	0.5667	0.7528
No log	7.5455	166	0.5314	0.1538	0.5314	0.7290
No log	7.6364	168	0.5264	0.2222	0.5264	0.7256
No log	7.7273	170	0.5426	0.0388	0.5426	0.7366
No log	7.8182	172	0.5332	0.0388	0.5332	0.7302
No log	7.9091	174	0.5168	0.2143	0.5168	0.7189
No log	8.0	176	0.5101	0.1818	0.5101	0.7142
No log	8.0909	178	0.5026	0.1818	0.5026	0.7089
No log	8.1818	180	0.5012	0.1818	0.5012	0.7080
No log	8.2727	182	0.5036	0.2143	0.5036	0.7096
No log	8.3636	184	0.4978	0.2143	0.4978	0.7055
No log	8.4545	186	0.4998	0.2143	0.4998	0.7070
No log	8.5455	188	0.5014	0.2222	0.5014	0.7081
No log	8.6364	190	0.5039	0.2143	0.5039	0.7099
No log	8.7273	192	0.5094	0.2143	0.5094	0.7137
No log	8.8182	194	0.5227	0.2143	0.5227	0.7230
No log	8.9091	196	0.5235	0.2143	0.5235	0.7235
No log	9.0	198	0.5184	0.2143	0.5184	0.7200
No log	9.0909	200	0.5129	0.2222	0.5129	0.7162
No log	9.1818	202	0.5129	0.2326	0.5129	0.7162
No log	9.2727	204	0.5142	0.2326	0.5142	0.7171
No log	9.3636	206	0.5149	0.2326	0.5149	0.7176
No log	9.4545	208	0.5137	0.2326	0.5137	0.7167
No log	9.5455	210	0.5135	0.2326	0.5135	0.7166
No log	9.6364	212	0.5134	0.2326	0.5134	0.7165
No log	9.7273	214	0.5139	0.2326	0.5139	0.7169
No log	9.8182	216	0.5140	0.2326	0.5140	0.7170
No log	9.9091	218	0.5142	0.2326	0.5142	0.7171
No log	10.0	220	0.5140	0.2326	0.5140	0.7170

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/Arabic_FineTuningAraBERT_AugV5_k4_task3_organization_fold1

Arabic_FineTuningAraBERT_AugV5_k4_task3_organization_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
Arabic_FineTuningAraBERT_AugV5_k4_task3_organization_fold1